中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Study on friction modeling for sizable stewart platform-based force/torque sensor

文献类型:会议论文

作者Zhao YZ(赵延治); Zhao TS(赵铁石); Wen R(温锐); Wang HG(王洪光)
出版日期2007
会议名称IEEE International Conference on Robotics and Biomimetics (ROBIO 2007)
会议日期December 15-18, 2007
会议地点Sanya, China
关键词force/torque sensor Stewart platform joint-friction precision screw theory
页码1682-1687
通讯作者赵延治
中文摘要To further improve the precision of sizable Stewart platform-based force/torque sensor with general spherical joints in existing manufacture and calibration techniques, substituting spherical joints with three equivalent revolute joints, the paper presents the friction model of sizable parallel 6-axis force sensor with Stewart structure based on the screw theory and theory of influence coefficient. The friction influence matrix and the expressions of type I/II errors are deduced, which indicate the effect of joint-friction upon precision of measurement. Then, the graphs of type I/II errors of the parallel 6-axis force sensor under different external forces and frictional coefficient are plotted and the rule how the jointfriction affect the measuring precision is analyzed. Thus, the powerful basis and method are raised for the improvement of the precision of sizable Stewart platform-based force/torque sensor with general spherical joints.
收录类别EI ; CPCI(ISTP)
产权排序2
会议主办者IEEE Robot & Automat Soc, Shandong Univ, Chinese Univ Hong Kong, Chiba Inst Technol, Robot Soc Japan, Soc Instrument & Control Engn, Japan Soc Mech Engn, ROBIO Fdn
会议录2007 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, VOLS 1-5
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISBN号978-1-4244-1761-2
WOS记录号WOS:000257065801127
源URL[http://ir.sia.cn/handle/173321/20024]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Zhao YZ,Zhao TS,Wen R,et al. Study on friction modeling for sizable stewart platform-based force/torque sensor[C]. 见:IEEE International Conference on Robotics and Biomimetics (ROBIO 2007). Sanya, China. December 15-18, 2007.

入库方式: OAI收割

来源:沈阳自动化研究所

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